diff --git a/examples/symba_energy_momentum/collision_visualization.ipynb b/examples/symba_energy_momentum/collision_visualization.ipynb
index c3426c564..80d8991e7 100644
--- a/examples/symba_energy_momentum/collision_visualization.ipynb
+++ b/examples/symba_energy_momentum/collision_visualization.ipynb
@@ -2,18 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
@@ -27,37 +18,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Reading Swiftest file param.merger.in\n",
-      "Time = 0.0\n",
-      "Time = 0.01\n",
-      "Time = 0.02\n",
-      "Time = 0.03\n",
-      "Time = 0.04\n",
-      "Time = 0.05\n",
-      "Time = 0.06\n",
-      "Time = 0.07\n",
-      "Time = 0.08\n",
-      "Time = 0.09\n",
-      "Time = 0.1\n"
+      "Reading Swiftest file param.sun.in\n",
+      "Reading in time 5.500e-03\n",
+      "Creating Dataset\n",
+      "\n",
+      "Adding particle info Dataset\n",
+      "Successfully converted 551 output frames.\n"
      ]
     }
    ],
    "source": [
-    "config_file_name = 'param.merger.in'\n",
+    "config_file_name = 'param.sun.in'\n",
     "config = swio.read_swiftest_config(config_file_name)\n",
-    "merger= swio.swiftest2xr(config)"
+    "ds = swio.swiftest2xr(config)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,227 +60,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds['r'] = np.sqrt(ds['px']**2+ds['py']**2+ds['pz']**2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>t</th>\n",
-       "      <th>Eorbit</th>\n",
-       "      <th>Ecollisions</th>\n",
-       "      <th>Lx</th>\n",
-       "      <th>Ly</th>\n",
-       "      <th>Lz</th>\n",
-       "      <th>msys</th>\n",
-       "      <th>Etot</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.01</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.02</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0.03</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.04</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>0.05</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.06</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>0.07</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.08</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>0.09</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>0.10</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>0.10</td>\n",
-       "      <td>-2.181903e+11</td>\n",
-       "      <td>-8.676233e+09</td>\n",
-       "      <td>-3.260017e+11</td>\n",
-       "      <td>-1.186605e+12</td>\n",
-       "      <td>1.973015e+15</td>\n",
-       "      <td>4.283887e+13</td>\n",
-       "      <td>-2.268665e+11</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "       t        Eorbit   Ecollisions            Lx            Ly  \\\n",
-       "0   0.00 -2.181903e+11  0.000000e+00 -3.260017e+11 -1.186605e+12   \n",
-       "1   0.00 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "2   0.01 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "3   0.02 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "4   0.03 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "5   0.04 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "6   0.05 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "7   0.06 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "8   0.07 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "9   0.08 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "10  0.09 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "11  0.10 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "12  0.10 -2.181903e+11 -8.676233e+09 -3.260017e+11 -1.186605e+12   \n",
-       "\n",
-       "              Lz          msys          Etot  \n",
-       "0   1.973015e+15  4.283887e+13 -2.181903e+11  \n",
-       "1   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "2   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "3   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "4   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "5   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "6   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "7   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "8   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "9   1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "10  1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "11  1.973015e+15  4.283887e+13 -2.268665e+11  \n",
-       "12  1.973015e+15  4.283887e+13 -2.268665e+11  "
+       "[<matplotlib.lines.Line2D at 0x7fc9c8602a90>]"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "egy"
+    "ds['r'].sel(id=2).plot(x='time')"
    ]
   },
   {
diff --git a/examples/symba_energy_momentum/energy_angmtm.ipynb b/examples/symba_energy_momentum/energy_angmtm.ipynb
index ae4d868b9..d4bb290fe 100644
--- a/examples/symba_energy_momentum/energy_angmtm.ipynb
+++ b/examples/symba_energy_momentum/energy_angmtm.ipynb
@@ -208,7 +208,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.6"
   }
  },
  "nbformat": 4,